Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
Magnetic Resonance Imaging (MRI) is an important paraclinical tool for diagnosing and following-up of Multiple Sclerosis (MS). The detection of MS lesions in MRI may require comple...
Francesc Xavier Aymerich, Eduard Montseny, Pilar S...
We consider a cognitive two-way relay network which consists of two transceivers (primary users) and multiple cognitive terminals. The two transceivers transmit their data toward t...
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local s...
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...